Data Platform Engineer

Summary:

As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your typical day will involve working on the data platform blueprint and design, collaborating with architects, and ensuring seamless integration between systems and data models.

Roles & Responsibilities:

• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Assist with the data platform blueprint and design.
• Collaborate with Integration Architects and Data Architects.
• Ensure cohesive integration between systems and data models.
• Implement data platform components.
• Troubleshoot and resolve data platform issues.

Professional & Technical Skills:

Must To Have Skills:

• Proficiency in Data bricks Unified Data Analytics Platform.
• Strong understanding of statistical analysis and machine learning algorithms.
• Experience with data visualization tools such as Tableau or Power BI.
• Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
• Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.